Queensland Geological Features Dataset

This RDF dataset contains some of the geological Features of Interest of Queensland described and published by the Geological Survey of Queensland.

Features

This dataset considers each Feature from a number of points of view, or profiles:

• named individual - each Feature is an instance of the Web Ontology Languages 's NamedIndividual class
  • they are specific things in the world
• geospatial object - each Feature is an instance of the GeoSPARQL Ontology 's Feature class
  • they have geometries
• feature of interest - each Feature is an instance of the SOSA Ontology's FeatureOfInterest class
  • they may have obsesrvations made against them to determine their properties
  • e.g. boreholes to measure their amound of coal, gold etc.
• 'Geologic' feature - each Feature is an instance of one of the subclasses of the SWEET Ontology 's GeologicFeature class
  • they are earth science things of type Craton, Sandbar, Volcao etc.

Dataset

This dataset as a whole is modelled as a LocI Dataset which is a specialised form of both a DCAT2 Dataset and a VoID Dataset.

This means that the dataset is:

1. compatible with the Location Index (LocI) Project's notion of a dataset;
2. has standard catalogue metadata - due to DCAT;
3. has some RDF/graph properties of it described - due to VoID.

This dataset can be used with other LocI datasets for spatial interactions etc.

Metadata

The dataset-level metadata is available in multiple RDF (Turtle) files within the _metadata/ folder. These can be combined using the [make_dataset_rdf.py](_scripts/make_dataset_rdf.py) Python script to form _metadata/metadata.ttl whihc, in turn, can be combined with the data files (see above) to form the complete dataset.

Each of the RDF files within the _metadata/ folder adds another profile 's metadata, such as VoID, LocI etc. The main metadata file is _metadata/dcat_dataset.ttl.

Persistent Identifier

The persistent identifier (PID) for this dataset is:

• https://linked.data.gov.au/dataset/qldgeofeatures

Data

Currently this dataset contains a base of publicly available GSQ Structural Framework data which is certainly not all of GSQ's Features of Interest. It is being extended to contain more data over time.

This dataset's data is all in the single file dataset.ttl. The spatial and some of the other properties of the features were produced from the initial GSQ Structural Framework JSON data which is stored in _data/ by the Python script data-processor.py. The source of the JSON files is the Queensland Globe, which was originally populated with GSQ Structural Framework deliverd to the Globe by GSQ some years ago. This data is already public.

Many additions to the initial dataset.ttl file created from the JSON data have been made by hand and also by Python and SPARQL scripting, for instance, older and younger ages for features were determbined by the Python script older_younger.py producing the data file older_younger.py, the content of which has since been merged into dataset.ttl.

License

The content of this API is licensed for use under the Creative Commons 4.0 License. See the license deed for details.

Contacts

Geoscience Information Team, Geological Survey of Queensland, Department of Resources, Brisbane, QLD, Australia, [email protected]